Mixtures of g-priors for bayesian model averaging with economic applications [PDF]
We examine the issue of variable selection in linear regression have a potentially large amount of possible covariates and economic theory offers insufficient guidance on how to select the Model Averaging presents uncertainty.
Eduardo Ley, Mark F.J. Steel
core
Leveraging priors on distribution functions for multi-arm bandits
International audienceWe introduce Dirichlet Process Posterior Sampling (DPPS), a Bayesian non-parametric algorithm for multi-arm bandits based on Dirichlet Process (DP) priors.
Maillard, Odalric-Ambrym +1 more
core +1 more source
A geometry‐reconfigured additive manufacturing strategy converts planar printed soft materials into soft compact neural probes with integrated hydrogel electrodes and microfluidic channels. The resulting NeuroMAP platform enables scalable multichannel recording, localized chemical delivery, stable in vivo electrophysiological recording, and reduced ...
Hyunjin Lee +15 more
wiley +1 more source
A tutorial on selecting, translating, and reporting variance priors in Bayesian multilevel models. [PDF]
Liu L.
europepmc +1 more source
Intracrystalline Void‐Mediated Toughening of Brittle Crystals in Quail Eggshells
In quail eggshells, the high density and disordered arrangement of intracrystalline voids inhibit lattice cleavage, suppress long‐range crack propagation, and promote deformation twinning and quasi‐plasticity, serving as an essential toughening motif. We show that these voids remain within a narrow subcritical size range and therefore predominantly do ...
Jingxiao Zhong +16 more
wiley +1 more source
SNP genotyping in Pseudotsuga menziesii and Pinus radiata using targeted genotyping-by-sequencing (GBS): improved Bayesian SNP calling using a beta-binomial distribution and other optimized input parameters. [PDF]
Guo J +7 more
europepmc +1 more source
Mixtures of g-priors for Bayesian Model Averaging with economic application [PDF]
This paper examines the issue of variable selection in linear regression modeling, where there is a potentially large amount of possible covariates and economic theory offers insufficient guidance on how to select the appropriate subset. In this context,
Ley, Eduardo, Steel, Mark F.J.
core
Emergence of a Hexagonal Fe2S2 Single Layer Without a Bulk Counterpart via Phase Transformation
Upon annealing, single‐layer Mackinawite iron sulfide transforms into a previously unknown hexagonal Fe2S2${\rm Fe}_2{\rm S}_2$ phase with β$\beta$‐CuI structure. STM, LEED, and first‐principles calculations identify the structure and show that electronic correlations and magnetic order are important for its stability.
Affan Safeer +10 more
wiley +1 more source
Spatially distributing Ti3C2Tx nanosheets into core‐shell architecture, rather than as directly dispersed flakes, mitigates aggregation and enhances photon harvesting. When the Ti3C2Tx core‐shell particles are incorporated into a shape‐memory polymer matrix at an ultralow loading of 0.0024 wt%, the improved photothermal conversion translates into ...
May Maung Zaw +12 more
wiley +1 more source
Confounder-Matched Deep Learning on Cardiac CT for the Diagnosis of Tetralogy of Fallot: A Proof of Concept. [PDF]
Karimov E, Zaim Gökbay İ, Baş S.
europepmc +1 more source

